Results 101 to 110 of about 5,203 (216)
Abstract Physics‐Informed Neural Networks (PINNs) have emerged as a powerful framework for modeling groundwater flow using deep learning neural networks, particularly in scenarios where traditional data‐driven approaches are limited by the scarcity of data.
Adhish Virupaksha +4 more
wiley +1 more source
Implicit Neural Representation to Improve the Resolution of 3D Electrical Resistivity
Abstract Electrical resistivity tomography (ERT) is a subsurface imaging geophysical technique. Traditional ERT inversion methods, such as smoothness‐constrained least‐squares approaches, often suffer from discretization artifacts when reconstructing electrical resistivity from resistance measurements.
Yusen Yuan +8 more
wiley +1 more source
A Kolmogorov–Arnold Surrogate Model for Chemical Equilibria: Application to Solid Solutions
Abstract The computational cost of geochemical solvers is a challenging matter. For reactive transport simulations, where chemical calculations are performed up to billions of times, it is crucial to reduce the total computational time. Existing publications have explored various machine learning approaches to determine the most effective data‐driven ...
Leonardo Boledi +2 more
wiley +1 more source
Risk Without Values: Including Indigenous Perspectives in Climate Risk Assessments
ABSTRACT Climate risk assessments (CRAs) increasingly acknowledge Indigenous communities as disproportionately exposed to climate change, yet they rarely engage Indigenous perspectives as distinct ways of understanding risk. In a thematic review of CRAs self‐submitted to the Carbon Disclosure Project (CDP) by English‐speaking international cities, we ...
Marcelle Scadden +4 more
wiley +1 more source
Abstract Saliva provides a noninvasive alternative to serum for serial sampling of estradiol and progesterone. This study examined salivary estradiol and progesterone patterns and the relationship between salivary and serum estradiol, progesterone, and the estradiol to progesterone ratio (E2:P) across the menstrual cycle (MC) in physically active ...
Samantha J. Goldenstein +4 more
wiley +1 more source
Th4+ or UO22+ actinides, neutral bipyridine‐N,N’‐dioxide ligands, and anionic cyanoaurate linkers are combined to generate a family of four coordination polymers. ‘Truss bridge’ and square grid cationic frameworks are yielded when using [Au(CN)2]− or [Au(CN)4]−, respectively, indicating a templating effect guided by either aurophilic interactions ...
Sylvain St. Louis +2 more
wiley +1 more source
Advanced Nuclear Energy Pathways for a Net-Zero World: Fuel Cycles, Reactors, and Policy Readiness. [PDF]
Haggam RA +8 more
europepmc +1 more source
A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan +9 more
wiley +1 more source
Model analysis of plasma incineration system of radioactive waste: A case in São Paulo, Brazil. [PDF]
Gonçalves MFS +4 more
europepmc +1 more source
Embedding Chemistry and Pharmacy Into Sustainability
Chemistry and pharmacy provide products and processes that are indispensable for our high living standard. To understand their relationship with sustainability is important to allow them to contribute to sustainability in a sustainable manner. An integrated overview of green, circular, and sustainable chemistry and pharmacy is given and how they have t
Klaus Kümmerer
wiley +1 more source

